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A biodegradable artificial synapse implemented by foundry-compatible materials

delete2020-11-11
delete1
PRE
AI
S
Shuai Zhong
X
Xinglong Ji
H
Hao Song
F
Faqiang Liu
R
Rong Zhao *
DOI:10.1063/5.0020522delete
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摘要

摘要

En 中文
Neuromorphic computing has attracted increasing attention in medical applications due to its ability to improve diagnosis accuracy and human healthcare monitoring. However, the current remote operation mode has a time delay between in vivo data acquisition and in vitro clinical decision-making. Thus, it is of great importance to build a biodegradable neuromorphic network that can operate in a local physiological environment. A biodegradable synapse is a crucial component of such neuromorphic networks. However, the materials employed currently to develop a biodegradable synapse are incompatible with the foundry process, making it challenging to achieve a high density and large-scale neuromorphic network. Here, we report a biodegradable artificial synapse based on a W/Cu/WO3/SiO2/W structure, which is constructed from materials widely used in advanced semiconductor foundries. The device exhibits resistive switching, and the dominated mechanisms are attributed to Ohm's law and trap-filled space charge limited conduction. By manipulating pulse amplitudes, widths, and intervals, the device conductance can be finely regulated to achieve various synaptic functions, such as long-term potentiation, long term depression, paired-pulse facilitation, and spike-rate-dependent plasticity. Moreover, the learning-forgetting-relearning process, which is an essential and complex synaptic behavior, is emulated in a single device. Pattern learning of a slash symbol is also accomplished by building a 4x4 synaptic array. In addition, the systematic solubility testing proves its full biodegradability in biofluids. This work opens a potential pathway toward the integration of large-scale neuromorphic network for bioelectronics.
Keyword:
DEVICE
INTELLIGENCE
PLASTICITY
OXIDE
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期刊

Applied Physics Letters 封面图
Applied Physics Letters
IF:
3.6
论文数:
10.4W
被引数:
17.8W

机构

T
tsinghua university
学者数:
11.9W
论文数: 10.0W
被引数: 137
S
singapore university of technology & design
学者数:
2.8K
论文数: 3.6K
被引数: 5
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